Fig. 5: Genomics association and prognostic significance of CollaTIL in CSCC and HGSOC. | Communications Medicine

Fig. 5: Genomics association and prognostic significance of CollaTIL in CSCC and HGSOC.

From: Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies

Fig. 5

a Box-violon plot depicting significant difference of the predicted risk between CSCC patients harboring mutation in PIK3CA as compared to wildtype counterparts. b–d Box-violons plots detailing the signature activities of TCA-Cycle in CSCC, and Amino acid and Macrophage in HGSOC for high-risk patients compared to the low-risk patients. Statistical significance of differences in the signature activities was estimated using a Wilcoxen signed rank test. e–g OS estimates of CSCC (e), CSCC (f) and HGSOC (g) patients. Shown are Kaplan–Meier estimates of OS for patients with high expression of APOBEC3H in CSCC, KIRREL1 in CSCC and FAM166B in HGSOC as compared to their low expressed counterparts. The statistical significance of differences in survival rates between high expressed and low expressed categories was determined using the LogRank test (P). The Violin plots represent the probability density of patients at different risk scores or signature indices. Embedded Boxplots summarize the distribution, indicating the median (center line), quartiles (box edges), and potential outliers (beyond whiskers). HGSOC high grade serous ovarian carcinoma, CSCC cervical squamous cell carcinoma, OS overall survival, PFS progression-free survival.

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